# peteanderson80/bottom-up-attention

<https://repo.masters-masters.com/en/repos/peteanderson80/bottom-up-attention>

[Home](https://repo.masters-masters.com/en) › [peteanderson80](https://repo.masters-masters.com/en/owners/peteanderson80) › [bottom-up-attention](https://repo.masters-masters.com/en/repos/peteanderson80/bottom-up-attention)

peteanderson80/bottom-up-attention has 1,471 stars on GitHub. Its RepoMasters card: Beta tier. Bottom-up attention model for image captioning and VQA, based…

| Field | Value |
| --- | --- |
| Owner | [peteanderson80](https://repo.masters-masters.com/en/owners/peteanderson80) |
| Stars | 1,471 |
| Forks | 369 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | MIT |
| Created | 2017 |
| Topics | vqa, visual-question-answering, captioning-images, faster-rcnn, caffe, image-captioning, mscoco, mscoco-dataset |
| Tier | [Beta (700 to 1,999 ★)](https://repo.masters-masters.com/en/ranks/box_office) |
| View on GitHub | [peteanderson80/bottom-up-attention](https://github.com/peteanderson80/bottom-up-attention) |

## Repository

Bottom-up attention model for image captioning and VQA, based on Faster R-CNN and Visual Genome

The tier for repos with 700 to 1,999 ★. Published odds per card pulled: 6%. Rarity: Rare.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.